视觉生成AI时代的知识产权保护：一项综述
IP Protection in the Era of Visual Generative AI: A Survey
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中文总结 AI 辅助
本综述针对视觉生成AI带来的知识产权风险，提出二维分类体系梳理相关防御方法，对齐评估协议并探讨挑战，为该领域研究者提供系统概述。
中文摘要 AI 辅助
视觉生成AI的快速发展带来了广泛的知识产权风险，涵盖受保护数据与模型资产的未授权学习、复制、提取、滥用及再分发。为应对这些风险，已提出大量技术防御措施。然而，现有综述通常按生命周期阶段或技术机制组织相关文献，这可能模糊不同方法的保护意图。本综述提出了视觉生成模型知识产权保护的二维分类体系：主维度为控制逻辑视图，根据所调控的风险变量将方法分为信息暴露控制、生成行为约束及归因与问责三类；次维度将数据知识产权与模型知识产权作为交叉的资产维度。在该框架下，我们系统梳理了各类保护方法，使评估协议与保护目标对齐，并讨论了开放性挑战，包括主动的模型级安全防护、标准化评估、对抗自适应攻击的鲁棒性及可解释证据。本综述旨在为视觉生成AI知识产权保护领域的新老研究者提供一份有原则、系统且易于理解的概述。
英文摘要
The rapid evolution of visual generative AI has introduced a wide range of intellectual property risks, spanning the unauthorized learning, reproduction, extraction, misuse, and redistribution of protected data and model assets. To address these risks, a growing body of technical defenses has been proposed. However, existing surveys typically organize this literature by lifecycle stage or technical mechanism, which can obscure the protective intent of different methods. This survey presents a two-dimensional taxonomy for IP protection in visual generative models. The primary axis is a Control Logic View, which classifies methods into Information Exposure Control, Generative Behavior Constraint, and Attribution & Accountability according to the risk variable they regulate. The secondary axis distinguishes Data IP from Model IP as cross-cutting asset dimensions. Under this framework, we systematically review protection methods, align evaluation protocols with protection objectives, and discuss open challenges including proactive model-level safeguards, standardized evaluation, robustness against adaptive attacks, and explainable evidence. This survey aims to offer a principled, systematic, and easy-to-follow overview for both new and experienced researchers in visual generative AI IP protection.
发表机构
- Mila - Quebec AI Institute（米拉-魁北克人工智能研究所）
- McGill University（麦吉尔大学）
- EPFL（洛桑联邦理工学院）
- Université de Montréal（蒙特利尔大学）
- Nanyang Technological University（南洋理工大学）
- Science Tokyo（东京理科大学）
- Zhejiang University（浙江大学）
- Westlake University（西湖大学）
- Sony Research（索尼研究院）
机构由 AI 辅助整理，请以论文原文为准。
